Method of sequential mesh on Koopman-Darmois distributions
Method of sequential mesh on Koopman-Darmois distributions
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DOI：
10.1007/s11425-009-0096-5
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发表时间：
2010-04
期刊：
影响因子：
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通讯作者：
Yan Li;X. Pu
中科院分区：
文献类型：
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作者：
Yan Li;X. Pu
对于昂贵的和/或破坏性试验，需要具有适当最大样本量的序贯方法。基于Koopman-Darmois分布，本文提出了具有可接受的最大样本量的序贯网格法。与流行的截断序贯概率比检验相比，该方法具有最大样本量较小的优点，特别适用于昂贵和/或破坏性试验。
For costly and/or destructive tests, the sequential method with a proper maximum sample size is needed. Based on Koopman-Darmois distributions, this paper proposes the method of sequential mesh, which has an acceptable maximum sample size. In comparison with the popular truncated sequential probability ratio test, our method has the advantage of a smaller maximum sample size and is especially applicable for costly and/or destructive tests.